Re-save with cleaned inner.* keys and torch serialization; include custom code

README.md

@@ -2,13 +2,13 @@
 title: LLM Workshop Hands-on GPT
 license: mit
 language:
-- ja
+  - ja
 datasets:
-- hotchpotch/fineweb-2-edu-japanese
+  - hotchpotch/fineweb-2-edu-japanese
 tags:
-- gpt
-- transformer
-- from-scratch
+  - gpt
+  - transformer
+  - from-scratch
 pipeline_tag: text-generation
 ---
 
@@ -26,7 +26,6 @@ pipeline_tag: text-generation
 ## 使い方
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
-
 tok = AutoTokenizer.from_pretrained("gpt2")
 model = AutoModelForCausalLM.from_pretrained(
     "itarutomy/llm_workshop_hands_on_gpt-model",

config.json

@@ -1,7 +1,7 @@
 {
   "activation_function": "gelu_new",
   "architectures": [
-    "GPTScratchForCausalLM"
+    "ExportableGPTScratchForCausalLM"
   ],
   "attn_pdrop": 0.1,
   "auto_map": {

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3a0044fb8374fab6cbf7861280e819920f351a1ca53c3d586dc533e5d2467ca
+size 54781246